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|
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|
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\subsection{Uncertainty on the \ttll\ Background} |
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|
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\label{sec:ttdilbkgunc} |
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The \ttbar\ background prediction is obtained from MC, with corrections |
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derived from control samples in data. The uncertainty associated with |
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the \ttbar\ background is derived from the level of closure of the |
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\end{figure} |
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|
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|
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\subsubsection{Check of the uncertainty on the \ttll\ Acceptance} |
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\subsubsection{Check of the uncertainty on the \ttll\ Background} |
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|
|
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The uncertainty associated with |
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< |
the theoretical modeling of the \ttbar\ production and decay is |
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< |
checked by comparing the background predictions obtained using |
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> |
We check that the systematic uncertainty assigned to the \ttll\ background prediction |
183 |
> |
covers the uncertainty associated with |
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> |
the theoretical modeling of the \ttbar\ production and decay |
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> |
by comparing the background predictions obtained using |
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|
alternative MC samples. It should be noted that the full analysis is |
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performed with the alternative samples under consideration, |
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including the derivation of the various data-to-MC scale factors. |
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statistics. |
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\item Within the limited statistics, there is no evidence that the |
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|
situation changes as we go from signal region A to signal region E. |
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< |
Therefore, we assess a systematic based on the relatively high |
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< |
statistics |
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< |
test in signal region A, and apply the same systematic uncertainty |
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< |
to all other regions. |
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> |
%Therefore, we assess a systematic based on the relatively high |
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> |
%statistics |
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> |
%test in signal region A, and apply the same systematic uncertainty |
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> |
%to all other regions. |
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> |
\item In signal regions B and above, the uncertainties assigned in Section~\ref{sec:ttdilbkgunc} |
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> |
fully cover the alternative MC variations. |
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|
\item In order to fully (as opposed as 1$\sigma$) cover the |
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|
alternative MC variations in region A we would have to take a |
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|
systematic |
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< |
uncertainty of $\approx 10\%$. This would be driven by the |
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> |
uncertainty of $\approx 10\%$ instead of $5\%$. This would be driven by the |
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|
scale up/scale down variations, see Table~\ref{tab:fracdiff}. |
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|
\end{itemize} |
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|
|
384 |
|
up/scale |
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|
down variations by a factor 2, we can see that a systematic |
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|
uncertainty |
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< |
of 6\% would fully cover all of the variations from different MC |
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< |
samples in SRA and SRB. |
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< |
The alternative MC models indicate that a 6\% systematic uncertainty to |
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< |
cover the range of reasonable variations. |
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< |
Note that this 6\% is also consistent with the level at which we are |
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> |
of 5\% covers the range of reasonable variations from different MC |
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> |
models in SRA and SRB. |
389 |
> |
%The alternative MC models indicate that a 6\% systematic uncertainty |
390 |
> |
%covers the range of reasonable variations. |
391 |
> |
Note that this 5\% is also consistent with the level at which we are |
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|
able to test the closure of the method with alternative samples in CR5 for the high statistics |
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|
regions (Table~\ref{tab:hugecr5yields}). |
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The range of reasonable variations obtained with the alternative |
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|
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|
\clearpage |
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|
\subsection{Summary of uncertainties} |
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\label{sec:bgunc-bottomline}. |
872 |
> |
\label{sec:bgunc-bottomline} |
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> |
|
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> |
The contribution to the total uncertainty from each source is given in Tables~\ref{tab:relativeuncertaintycomponents} and~\ref{tab:uncertaintycomponents} for the relative and absolute uncertainties, respectively. In the low-\met\ regions the dominant uncertainty comes from the top tail-to-peak ratio, $R_{top}$ (Section~\ref{sec:ttp}), while in the high-\met\ regions the \ttll\ systematic uncertainty dominates (Section~\ref{sec:ttdilbkgunc}). |
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> |
|
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|
\input{uncertainties_table.tex} |
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|
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+ |
|
879 |
+ |
|
880 |
+ |
|
881 |
+ |
|
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|
%Figure.~\ref{fig:reliso} compares the relative track isolation |
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|
%for events with a track with $\pt > 10~\GeV$ in addition to a selected |
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|
%muon for $\Z+4$ jet events and various \ttll\ components. The |